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Estimation of the Hidden Population with COVID-19 Disease
- Source :
- International Journal of Maternal and Child Health and AIDS, Vol 9, Iss 2 (2020), International Journal of Maternal and Child Health and AIDS
- Publication Year :
- 2020
- Publisher :
- Global Health and Education Projects, Inc., 2020.
-
Abstract
- The population with emerging diseases such as COVID-19, which is used to calculate the basic reproduction number of epidemic outbreak (R0) cannot be simply observed. In this article, we have proposed a method for estimating the hidden population of people with COVID-19 disease. Knowing the number of people with COVID-19 disease is very important for health policy. The provision of medical equipment (e.g., masks, alcohol, ventilators, medication, etc.), the reopening of schools and universities, the start of tourism and public gatherings, the provision of medical staff and preventive planning depend on the number of patients with the disease. Therefore, it is very important to estimate the number of patients. Key words: • Corona virus • Covid-19 • Epidemiology • Hidden population • Attack rate Copyright © 2020 Soltanian et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial.
- Subjects :
- medicine.medical_specialty
Corona virus
Epidemiology
Attack rate
Population
Medical equipment
Disease
Letter to the Editor | Covid-19 Pandemic
01 natural sciences
010104 statistics & probability
03 medical and health sciences
0302 clinical medicine
medicine
030212 general & internal medicine
0101 mathematics
Hidden population
education
Health policy
Estimation
education.field_of_study
business.industry
General Engineering
medicine.disease
Medical emergency
Public aspects of medicine
RA1-1270
business
Covid-19
Basic reproduction number
Subjects
Details
- Language :
- English
- ISSN :
- 21618674
- Volume :
- 9
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- International Journal of Maternal and Child Health and AIDS
- Accession number :
- edsair.doi.dedup.....3b67470ee35dd3cf3499f286d343393a